Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T102D33421C6A50337D205038AE7DB7B56629BD1C7CDA2BCA8F2B04135DBB9D482C77DA1 |
|
CONTENT
ssdeep
|
3072:NTsKJrjylK2E6IOZuagKI3ImJS20gIYLQICeIkPksuGIyIhuBnvEBg:SKNQ5IZf3NgBg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed1695926ab34527 |
|
VISUAL
aHash
|
fff0000000f1fbfb |
|
VISUAL
dHash
|
2f22622365e31292 |
|
VISUAL
wHash
|
fff0200000f1fbfb |
|
VISUAL
colorHash
|
06e00000000 |
|
VISUAL
cropResistant
|
2b22632365a31292,00020c1404040304,9696969311531b59,8202020606060606,ae8c44113b6a9a4c,9f8d8d8c8f233265 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 142 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)